Artificial intelligence in product lifecycle management
Recently, artificial intelligence (AI) technology receives extensive attention in the
manufacturing field. As the core technology, it generates considerable interest among smart …
manufacturing field. As the core technology, it generates considerable interest among smart …
An Overview of Nature‐Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning
Safe and smooth mobile robot navigation through cluttered environment from the initial
position to goal with optimal path is required to achieve intelligent autonomous ground …
position to goal with optimal path is required to achieve intelligent autonomous ground …
UAV path planning using artificial potential field method updated by optimal control theory
Y Chen, G Luo, Y Mei, J Yu, X Su - International Journal of Systems …, 2016 - Taylor & Francis
The unmanned aerial vehicle (UAV) path planning problem is an important assignment in
the UAV mission planning. Based on the artificial potential field (APF) UAV path planning …
the UAV mission planning. Based on the artificial potential field (APF) UAV path planning …
Automated clash resolution for reinforcement steel design in precast concrete wall panels via generative adversarial network and reinforcement learning
The increasing adoption of precast concrete elements (PCEs) is evident in civil infrastructure
projects. The structural integrity of prefabricated structures relies on the quality of …
projects. The structural integrity of prefabricated structures relies on the quality of …
Unmanned aerial vehicle path planning algorithm based on deep reinforcement learning in large-scale and dynamic environments
R Xie, Z Meng, L Wang, H Li, K Wang, Z Wu - IEEE Access, 2021 - ieeexplore.ieee.org
Path planning is one of the key technologies for autonomous flight of Unmanned Aerial
Vehicle. Traditional path planning algorithms have some limitations and deficiencies in the …
Vehicle. Traditional path planning algorithms have some limitations and deficiencies in the …
A novel evacuation path planning method based on improved genetic algorithm
L Zhai, S Feng - Journal of Intelligent & Fuzzy Systems, 2022 - content.iospress.com
In order to solve the problem of finding the best evacuation route quickly and effectively, in
the event of an accident, a novel evacuation route planning method is proposed based on …
the event of an accident, a novel evacuation route planning method is proposed based on …
Multi-objective compositions for collision-free connectivity maintenance in teams of mobile robots
Compositional barrier functions are proposed in this paper to systematically compose
multiple objectives for teams of mobile robots. The objectives are first encoded as barrier …
multiple objectives for teams of mobile robots. The objectives are first encoded as barrier …
[HTML][HTML] Optimizing path planning in mobile robot systems using motion capture technology
SJ Al-Kamil, R Szabolcsi - Results in Engineering, 2024 - Elsevier
Recent advancements in mechatronics and robotics have led to the emergence of a wide
range of technologies with potential applications across various industries. This progress …
range of technologies with potential applications across various industries. This progress …
Sine resistance network-based motion planning approach for autonomous electric vehicles in dynamic environments
This article proposes a motion planning approach for autonomous electric vehicles to
generate an appropriate planned path according to the time-varying surrounding …
generate an appropriate planned path according to the time-varying surrounding …
Obstacle avoidance and model‐free tracking control for home automation using bio‐inspired approach
This article proposes a control algorithm for obstacle avoidance and trajectory tracking for a
redundant‐manipulator in smart‐homes. The redundancy provides dexterity and flexibility …
redundant‐manipulator in smart‐homes. The redundancy provides dexterity and flexibility …